feat(aten::floor): Adds floor.int evaluator

[narendasan]

Description

Adds floor.int evaluator

Fixes #117
(partially addresses #252)

Type of change

Please delete options that are not relevant and/or add your own.

• New feature (non-breaking change which adds functionality)

Checklist:

• My code follows the style guidelines of this project (You can use the linters)
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas and hacks
• I have made corresponding changes to the documentation
• I have added tests to verify my fix or my feature
• New and existing unit tests pass locally with my changes

[github-actions]

There are some changes that do not conform to Python style guidelines:

Reformatting /workspace/cpp/ptq/training/vgg16/export_ckpt.py
Reformatting /workspace/cpp/ptq/training/vgg16/vgg16.py
Reformatting /workspace/cpp/ptq/training/vgg16/main.py

[github-actions]

There are some changes that do not conform to C++ style guidelines:

diff --git a/workspace/core/conversion/var/Var.cpp b/tmp/changes.txt
index 71b77f5..8356934 100644
--- a/workspace/core/conversion/var/Var.cpp
+++ b/tmp/changes.txt
@@ -89,7 +89,7 @@ nvinfer1::ITensor* Var::ITensorOrFreeze(ConversionCtx* ctx) {
  if (isIValue()) {
    LOG_DEBUG(ctx->logger, "Found IValue containing object of type " << *(ptr_.ivalue->type()));
  }
-  
+
  TRTORCH_CHECK(
      isITensor() || (isIValue() && (ptr_.ivalue->isTensor() || ptr_.ivalue->isCustomClass())),
      "Requested either IValue containing a Tensor, or ITensor, however Var type is " << type_name());
@@ -100,8 +100,10 @@ nvinfer1::ITensor* Var::ITensorOrFreeze(ConversionCtx* ctx) {
    if (ptr_.ivalue->isTensor()) {
      auto weights = converters::Weights();
      auto tensor = ptr_.ivalue->toTensor();
-      if ((tensor.scalar_type() == at::kLong || tensor.scalar_type() == at::kDouble) && !ctx->settings.truncate_long_and_double) {
-        TRTORCH_THROW_ERROR("Unable to freeze tensor of type Int64/Float64 into constant layer, try to compile model with truncate_long_and_double enabled");
+      if ((tensor.scalar_type() == at::kLong || tensor.scalar_type() == at::kDouble) &&
+          !ctx->settings.truncate_long_and_double) {
+        TRTORCH_THROW_ERROR(
+            "Unable to freeze tensor of type Int64/Float64 into constant layer, try to compile model with truncate_long_and_double enabled");
      } else if (tensor.scalar_type() == at::kLong && ctx->settings.truncate_long_and_double) {
        weights = converters::Weights(ctx, tensor.toType(at::kInt));
        LOG_WARNING("Truncating weight (constant in the graph) from Int64 to Int32");
@@ -111,7 +113,7 @@ nvinfer1::ITensor* Var::ITensorOrFreeze(ConversionCtx* ctx) {
      } else {
        weights = converters::Weights(ctx, tensor);
      }
-      
+
      auto const_layer = ctx->net->addConstant(weights.shape, weights.data);
      TRTORCH_CHECK(const_layer, "Unable to freeze tensor into constant layer");
      out = const_layer->getOutput(0);
ERROR: Some files do not conform to style guidelines

[github-actions]

There are some changes that do not conform to C++ style guidelines:

diff --git a/workspace/core/conversion/var/Var.cpp b/tmp/changes.txt
index 71b77f5..8356934 100644
--- a/workspace/core/conversion/var/Var.cpp
+++ b/tmp/changes.txt
@@ -89,7 +89,7 @@ nvinfer1::ITensor* Var::ITensorOrFreeze(ConversionCtx* ctx) {
  if (isIValue()) {
    LOG_DEBUG(ctx->logger, "Found IValue containing object of type " << *(ptr_.ivalue->type()));
  }
-  
+
  TRTORCH_CHECK(
      isITensor() || (isIValue() && (ptr_.ivalue->isTensor() || ptr_.ivalue->isCustomClass())),
      "Requested either IValue containing a Tensor, or ITensor, however Var type is " << type_name());
@@ -100,8 +100,10 @@ nvinfer1::ITensor* Var::ITensorOrFreeze(ConversionCtx* ctx) {
    if (ptr_.ivalue->isTensor()) {
      auto weights = converters::Weights();
      auto tensor = ptr_.ivalue->toTensor();
-      if ((tensor.scalar_type() == at::kLong || tensor.scalar_type() == at::kDouble) && !ctx->settings.truncate_long_and_double) {
-        TRTORCH_THROW_ERROR("Unable to freeze tensor of type Int64/Float64 into constant layer, try to compile model with truncate_long_and_double enabled");
+      if ((tensor.scalar_type() == at::kLong || tensor.scalar_type() == at::kDouble) &&
+          !ctx->settings.truncate_long_and_double) {
+        TRTORCH_THROW_ERROR(
+            "Unable to freeze tensor of type Int64/Float64 into constant layer, try to compile model with truncate_long_and_double enabled");
      } else if (tensor.scalar_type() == at::kLong && ctx->settings.truncate_long_and_double) {
        weights = converters::Weights(ctx, tensor.toType(at::kInt));
        LOG_WARNING("Truncating weight (constant in the graph) from Int64 to Int32");
@@ -111,7 +113,7 @@ nvinfer1::ITensor* Var::ITensorOrFreeze(ConversionCtx* ctx) {
      } else {
        weights = converters::Weights(ctx, tensor);
      }
-      
+
      auto const_layer = ctx->net->addConstant(weights.shape, weights.data);
      TRTORCH_CHECK(const_layer, "Unable to freeze tensor into constant layer");
      out = const_layer->getOutput(0);
ERROR: Some files do not conform to style guidelines

[github-actions]

There are some changes that do not conform to Python style guidelines:

Reformatting /workspace/cpp/ptq/training/vgg16/export_ckpt.py
Reformatting /workspace/cpp/ptq/training/vgg16/vgg16.py
Reformatting /workspace/cpp/ptq/training/vgg16/main.py

[github-actions]

Code conforms to C++ style guidelines

[github-actions]

Code conforms to Python style guidelines