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Results 11 - 18 of 18 for 1x2x2x1xi32 (0.28 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 15.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/add_dump_tensor_op.mlir
%1 = "tf.PartitionedCall"(%arg0, %cst, %cst_0) {_tfl_quant_trait = "fully_quantizable", config = "", config_proto = "", executor_type = "", f = @composite_conv2d_with_bias_and_relu6_fn_1} : (tensor<1x2x2x3xf32>, tensor<2x2x3x2xf32>, tensor<2xf32>) -> tensor<*xf32> loc(callsit...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 22:55:22 UTC 2024 - 37.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/decompose.mlir
func.func @attribute_cast(%arg0: tensor<1x4x4x1xf32>) -> tensor<1x2x2x1xf32> { %0 = "tfr.cast"(%arg0) : (tensor<1x4x4x1xf32>) -> !tfr.tensor %stride_i32 = arith.constant 2 : i32 %1 = tfr.call @tf__my_max_pool(%0, %stride_i32, %stride_i32) : (!tfr.tensor, i32, i32) -> !tfr.tensor %2 = "tfr.cast"(%1) : (!tfr.tensor) -> tensor<1x2x2x1xf32> func.return %2 : tensor<1x2x2x1xf32> // CHECK: tf__max_pool }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 16.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir
rhs_quantization_max_val = 127 : i64 } : (tensor<1x2x2x3xf32>, tensor<2x3x3x2x!tf_type.qint8>, tensor<f32>, tensor<i32>) -> tensor<1x2x1x2xf32> func.return %0 : tensor<1x2x1x2xf32> } // ----- // CHECK-LABEL: func @uniform_quantized_convolution_hybrid_explicit func.func @uniform_quantized_convolution_hybrid_explicit(%input: tensor<1x2x2x3xf32>) -> tensor<1x3x3x2xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 01:25:29 UTC 2024 - 37.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir
module { func.func @conv_with_single_layer(%arg0: tensor<1x2x2x3xf32>) -> (tensor<*xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 08 01:16:10 UTC 2024 - 25.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/pipelines/process_nchw_tensor.mlir
// CHECK: stablehlo.maximum // CHECK: (tensor<1x5x5x4xf32>, tensor<f32>) -> tensor<1x2x2x4xf32> // CHECK: %[[TRANSPOSE_1:.+]] = stablehlo.transpose %[[REDUCE_WINDOW_MAX]], dims = [0, 3, 1, 2] : (tensor<1x2x2x4xf32>) -> tensor<1x4x2x2xf32> // CHECK: return %[[TRANSPOSE_1]] // ----- // Tests that a `maximum(add(convolution(%activation, %weight), %bias), %zero)`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 12.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tfl_legalize_hlo.mlir
%1 = mhlo.constant dense<0> : tensor<i32> %2 = "mhlo.iota"() <{iota_dimension = 0 : i64}> : () -> tensor<32xi32> %3 = "mhlo.reshape"(%2) : (tensor<32xi32>) -> tensor<1x32x1xi32> %4:2 = mhlo.reduce(%arg0 init: %0), (%3 init: %1) across dimensions = [1] : (tensor<1x32x1xf32>, tensor<1x32x1xi32>, tensor<f32>, tensor<i32>) -> (tensor<1x1xf32>, tensor<1x1xi32>) reducer(%arg1: tensor<f32>, %arg3: tensor<f32>) (%arg2: tensor<i32>, %arg4: tensor<i32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0)